Targeted data enrichment belongs to the areas of Big Data and Smart Data, as well as Artificial Intelligence. The term describes the process of enhancing existing datasets with additional information in a targeted manner, so that they become more meaningful and useful.
This happens, for example, in companies that want to learn more about their customers. Let's say an online shop only has its customers' email addresses. With targeted data enrichment, they can add further information such as place of residence, interests, or purchasing habits. This allows advertising campaigns to be better tailored to individual customer groups and made more successful.
The big advantage: companies don't have to blindly guess what their customers want. Instead, they use the enriched data to design offers individually and efficiently. Targeted data enrichment can be achieved through their own research as well as by purchasing external data. With modern tools, often supported by artificial intelligence, this is much faster and more accurate today.
It is important to pay attention to data protection and transparency in this regard, so that both customers and companies benefit equally. Targeted data enrichment thus helps to make better decisions and use resources sensibly.
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